Additionally, you can bin the data using units of time as the bin edges, such as 'second' , 'hour' , or 'week'. This functionality is most useful with data sets that have a large number of categories, since it enables you to, for example, plot only the 10 largest bars or only the 15 smallest bars.
Scatter Plots: Create scatter plots with varying marker sizes faster. When you create a scatter plot and specify the marker sizes using the SizeData property, the scatter plot renders with improved performance.
The default parula colormap has enhanced colors that are more perceptually uniform. This table shows a comparison between the Ra and Rb versions of the parula colormap. The visual change is subtle; however, you might notice more colorful colors and smoother transitions between colors. Plots that use the parula colormap maintain their overall visual appearance.
However, the array of colors returned by the parula function is different. If your code relies on the specific RGB triplet values returned by parula , then you might need to update your code. Legends now automatically update to include new graphics objects added to the axes. Similarly, they update to exclude graphics objects deleted from the axes. For more information, see legend Function: Create legends that update when data is added to or removed from the axes.
However, the array returned by the parula function contains different RGB triplet values. For more information, see parula Colormap: Create plots with enhanced colors. Normalization option of histogram and histogram2. The Normalization option of histogram and histogram2 now computes the normalization using the total number of input data elements. Any data that is not binned for example NaN values or that falls outside the bin limits is still counted for the purposes of normalization. Previously, the normalization used only binned data in the calculation, which can be less than the total number of input data elements if the data contains NaN s or some data is outside the bin limits.
For an example of how to achieve the old behavior, see Control Categorical Histogram Display. The area function now sorts the inputted data in order of increasing x values before plotting.
Previously, the area function plotted the data in the order specified, which sometimes resulted in overlapping areas. For example, area [3 1 2],[0 5 10] now draws a line from 1,5 to 2,10 to 3,0 and fills in the area below the line. Previously, it drew a line from 3,0 to 1,5 to 2,10 , resulting in overlapping areas. If you want to draw filled polygons, consider using the fill function instead.
The datastore and tabularTextDatastore functions detect and return date and time data as datetime type. Previously, datastore and tabularTextDatastore functions returned date and time data as character vectors.
For details, see Read Remote Data. Import Tool: Import strings and categorical arrays interactively. The import tool now supports importing text as string and categorical data types. For more information, see Import Tool.
Previously, the Import Tool imported text data as a cell array of character vectors. To preserve that behavior, change settings in the Text Options field in the Imported Data section of the Import tab. Control and customize how data is imported from fixed-width text files using the detectImportOptions function and creating a FixedWidthImportOptions object. Use the FixedWidthImportOptions object with readtable to customize import options, such as:.
Import only a subset of data using the SelectedVariableNames property. For more information, see FixedWidthImportOptions. Previously, the save command, when saving workspace variables to a MAT-file, used compression as the default and the only option. Now, a new option, '-nocompression' , allows saving of data without compression. This option is only available to use with MAT-File version 7. By default, saving a variable myVariable to a MAT-file in version 7. To save myVariable without compression, use: save -v7.
Now, you can specify a character encoding of your choice by using the 'Encoding' parameter. It previously used version. For nonnumeric arrays, this function converts a JSON null value to an empty double array []. This behavior affects the webread and webwrite functions when processing JSON content. Previously, jsondecode decoded a JSON null value as an empty double array, which is dropped from the output.
To preserve the old behavior in the jsondecode function, that is, to remove the NaN values from the resulting numeric array, use the rmmissing function:. Both the load and fopen functions take filename as an input argument. When specifying this filename , use the file separator character preceding a file name to indicate that the file is in the root folder. If myFile. That is, the load function returns an error, and the fopen function returns a -1 indicating that the file could not be opened, because no such file exists in the root folder.
If no such file was found in the root folder, then MATLAB would attempt to find and return the file from the current folder. However, now, if you add a file separator preceding the file name, then the load and fopen functions will only look for the file in the root folder. To indicate that file is located in current folder use load 'myFile.
Then, on UNIX platforms:. Reading video files, with old file formats, on macOS platforms using VideoReader. The macOS platform no longer supports certain older video file formats. To read such files using VideoReader :. Open the video file using the QuickTime player. If the file is supported on macOS, the player automatically converts the file into a newer format.
Use VideoReader to read this new converted video file. Now to index tall arrays, you can use ascending or descending sorted indices. The indices can specify elements anywhere in the array, and allow for duplicates.
Convert a tall table containing a time variable into a tall timetable to facilitate calculations on large sets of time-stamped data. To find outliers in your data, use the isoutlier function. To replace outliers with alternative values, use the filloutliers function.
Smoothing noisy data is now possible with the smoothdata function. For example, smoothdata A,'movmedian' smooths data with a moving-window median. To return a structure that contains a summary of a table or a timetable, use the summary function.
Also, you can bin the data using units of time as the bin edges, such as 'second' , 'hour' , or 'week'. Use a sliding window to compute the moving median absolute deviation and the moving product along data in an array with the movmad and movprod functions. Find the smallest and largest elements of an array with the bounds function. Filling missing data using a moving mean or moving median option is now available with the fillmissing function.
Moving Statistics Functions: Supply sample points for time-stamped and nonuniform data in moving statistics functions, such as movmean. Providing sample points that represent the location of data in an array is now possible when computing moving statistics with the functions movmad , movmax , movmean , movmedian , movmin , movprod , movstd , movsum , and movvar.
For example, you can compute the moving-window average of data in an array A with respect to times in a vector t using movmean A,'SamplePoints',t. Now you can exclude NaN s when calculating the product and cumulative product of an array with the prod and cumprod functions. Normalization option of histcounts and histcounts2.
The Normalization option of histcounts and histcounts2 now computes the normalization using the total number of input data elements. App Designer: Learn to build apps using an interactive tutorial. Learn how to build a simple app using an interactive tutorial that guides you through each step in the process. You can access this tutorial in the App Designer Open menu.
Enable zooming and panning for plots in your apps using the zoom and pan functions. To enable this functionality, add buttons to your app that call zoom and pan in their callbacks.
For more information, see Graphics Support in App Designer. App Designer: Configure columns of a table to automatically fill the entire width of the table. MATLAB automatically calculates column widths so that they expand to fill all available space within the width of the table.
This behavior is enabled by default, or whenever the ColumnWidth property of the Table UI component is set to 'auto' for one or more columns. App Designer: Manage common design-time settings using the Preferences dialog box. Specify which options are always enabled or disabled whenever you work in App Designer. For more information, see App Designer Preferences. App Designer: Include comet , graph , and digraph visualizations in apps. Use comet to display comet plots, and use the graph plot function to display graph and digraph plots.
Create apps containing interactive plots by writing ButtonDownFcn callbacks for graphics objects such as Line or Bar objects. For example, here is a ButtonDownFcn callback saved as mybuttondown. App Designer: Edit table column headings directly in the canvas. Now you can edit table column headings directly in the canvas. The Uitable Properties panel automatically reflects your changes. SizeChangedFcn callbacks no longer execute when the automatic resize behavior is enabled.
The automatic resize behavior is enabled when the Resize components when app is resized check box in the UI Figure Properties panel Design View is checked. In previous releases, the presence of a SizeChangedFcn callback disabled the automatic resize behavior. Now, the automatic resize behavior must be disabled to allow the SizeChangedFcn to execute. Apps created in previous releases will not execute the SizeChangedFcn callback if the automatic resize behavior is enabled.
Open your app in App Designer, and select Design View. For more information on these methods, see Property Set Methods. You can improve performance on some storage devices by saving variables to MAT-File version 7.
Memoization is an optimization technique used to speed up programs by storing the results of expensive function calls and returning the cached result when the program is called with the same inputs. For more information, see memoize. Scripts: Improved performance of scripts with lower script overhead.
MATLAB has improved the performance of invoking scripts, especially when invoking a script from another script. The time savings becomes more noticeable as the number of components in your app increases. Mathematics Functions: Various performance improvements. Arduino : Read from quadrature encoders. Class matlab. It supports RSS feeds, download scheduler, auto shutdown and many more. When you need a fast and lightweight way to rapidly share files across any number of computers, torrenting through uTorrent is a cost-effective solution.
While torrenting is notorious for its use in pirating media, torrents are a useful tool for distributing batches of files to a large number of computers. Torrents are a type of file sharing method that allows computers to share the same file in small pieces. With the workload broken down this way, download speeds increase as more of the peers downloaders have pieces to share with other peers, eventually becoming a seeder download host themselves.
Once installed, clicking on torrent files or download links will quickly start downloading the file from any seeders or peers sharing the torrent. While it is efficient, the free version runs advertisements that increase its resource consumption.
For torrenting, the program offers you tools to manage your seeding and downloading preferences, including limiting transfer speeds, blocking specific users from downloading from you, and setting up private torrents. If you enable sequential downloading, you can stream videos from a torrent like Netflix. With the web version, there are additional features like scanning torrents you see on websites, and it integrates with your uTorrent desktop application to continue downloads after the browser is closed.
Having more BTT will get your downloads preferential treatment, so contributing to the network of sharing ends up investing in your own efficiency. Compared to its sister application, BitTorrent , It has a much smaller file size, gets more frequent updates, and has more OS compatibility thanks to its Linux version. Dynamic Subsystem Masks PLECS now lets you create dynamic mask icons for masked subsystems that change their appearance depending on parameter settings.
You can also create dynamic dialogs by disabling or hiding a parameter or changing its value depending on the value of another parameter. Each phase leg of the MMC consisting of 10 half-bridges has its own slave controller and is simulated on a separate RT Box.
The fourth box at the top simulates the passive filters and the grid. The RT Boxes are interconnected via high-speed serial links on the back to exchange simulation data and synchronize the simulation step. The controls are implemented on four C microcontrollers, which are connected to the front of each RT Box via LaunchPad Interface boards. The master controller at the top communicates with the slave controllers via an SPI bus. Search for:. Plexim Plecs Standalone v3.
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